9783319405650-3319405659-Inductive Logic Programming: 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers (Lecture Notes in Artificial Intelligence)

Inductive Logic Programming: 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers (Lecture Notes in Artificial Intelligence)

ISBN-13: 9783319405650
ISBN-10: 3319405659
Edition: 1st ed. 2016
Author: Akihiro Yamamoto, Katsumi Inoue, Hayato Ohwada
Publication date: 2016
Publisher: Springer
Format: Paperback 225 pages
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Book details

ISBN-13: 9783319405650
ISBN-10: 3319405659
Edition: 1st ed. 2016
Author: Akihiro Yamamoto, Katsumi Inoue, Hayato Ohwada
Publication date: 2016
Publisher: Springer
Format: Paperback 225 pages

Summary

Inductive Logic Programming: 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers (Lecture Notes in Artificial Intelligence) (ISBN-13: 9783319405650 and ISBN-10: 3319405659), written by authors Akihiro Yamamoto, Katsumi Inoue, Hayato Ohwada, was published by Springer in 2016. With an overall rating of 3.9 stars, it's a notable title among other AI & Machine Learning (Data Mining, Databases & Big Data, Microsoft Programming, Programming, Computer Science) books. You can easily purchase or rent Inductive Logic Programming: 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers (Lecture Notes in Artificial Intelligence) (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book constitutes the thoroughly refereed post-conference proceedings of the 25th International Conference on Inductive Logic Programming, ILP 2015, held in Kyoto, Japan, in August 2015. The 14 revised papers presented were carefully reviewed and selected from 44 submissions. The papers focus on topics such as theories, algorithms, representations and languages, systems and applications of ILP, and cover all areas of learning in logic, relational learning, relational data mining, statistical relational learning, multi-relational data mining, relational reinforcement learning, graph mining, connections with other learning paradigms, among others.
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